Citing Articles For: Neural quantum propagators for driven-dissipative quantum dynamics

Ab initio strong-pump strong-probe doorway-window simulation protocol

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Toward quantum-aware machine learning: Improved prediction of quantum dissipative dynamics via complex valued neural networks

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Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth

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Learning and inverting driven open quantum systems via physics-informed neural networks

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Machine learning time propagators for time-dependent density functional theory simulations

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Neural network solution of non-Markovian quantum state diffusion and operator construction of quantum stochastic process

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The Journal of Chemical Physics 163 194103 (2025)

Machine learning meets su(n) Lie algebra: Enhancing quantum dynamics learning with exact trace conservation

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Physical data embedding for memory efficient AI

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Quasiclassical Doorway–Window Simulation of Femtosecond Transient-Absorption Pump–Probe Signals Beyond the Weak-Pump Limit

Hefen Guan, Kewei Sun, Luis Vasquez, Lipeng Chen, Sebastian V. Pios, Zhenggang Lan, and Maxim F. Gelin

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From Short-Sighted to Far-Sighted: A Comparative Study of Recursive Machine Learning Approaches for Open Quantum Systems

Arif Ullah

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Neural quantum propagators for driven-dissipative quantum dynamics

Ab initio strong-pump strong-probe doorway-window simulation protocol

Toward quantum-aware machine learning: Improved prediction of quantum dissipative dynamics via complex valued neural networks

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth

Learning and inverting driven open quantum systems via physics-informed neural networks

Machine learning time propagators for time-dependent density functional theory simulations

Neural network solution of non-Markovian quantum state diffusion and operator construction of quantum stochastic process

Machine learning meets su(n) Lie algebra: Enhancing quantum dynamics learning with exact trace conservation

Physical data embedding for memory efficient AI

Quasiclassical Doorway–Window Simulation of Femtosecond Transient-Absorption Pump–Probe Signals Beyond the Weak-Pump Limit

From Short-Sighted to Far-Sighted: A Comparative Study of Recursive Machine Learning Approaches for Open Quantum Systems

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